Trajectory tracking control for rotary steerable systems using interval type-2 fuzzy logic and reinforcement learning
type: Item
instance of: scholarly article
title: Trajectory tracking control for rotary steerable systems using interval type-2 fuzzy logic and reinforcement learning
zbMATH Open document ID: 1384.93074
author: Chi Zhang
author: Wei Zou
author: Ningbo Cheng
author: Junshan Gao
published in: Journal of the Franklin Institute
publication date: 2018-04-04T00:00:00Z
Mathematics Subject Classification ID: 93C42
Mathematics Subject Classification ID: 93C10
Mathematics Subject Classification ID: 92B20
Mathematics Subject Classification ID: 93C95
Mathematics Subject Classification ID: 93A14
zbMATH DE Number: 6855606
zbMATH Keywords: rotary steerable systems
zbMATH Keywords: interval type-2 fuzzy logic
zbMATH Keywords: reinforcement learning
zbMATH Keywords: oil and gas exploration
zbMATH Keywords: nonlinearities
zbMATH Keywords: uncertainties
zbMATH Keywords: model-based dual-loop feedback cooperative control
zbMATH Keywords: radial basis function neural networks (RBFNN)
zbMATH Keywords: adaptive dynamic programming (ADP)
zbMATH Keywords: cooperative control
MaRDI profile type: Publication
full work available at URL: j.jfranklin.2017.12.001
OpenAlex ID: W2771998355
cites work: Adaptive output-feedback control design with prescribed performance for switched nonlinear systems
cites work: Q5293580
cites work: Eulerian formulation of constrained elastica
cites work: Advantages of the Enhanced Opposite Direction Searching Algorithm for Computing the Centroid of An Interval Type-2 Fuzzy Set
DOI: 10.1016/J.JFRANKLIN.2017.12.001
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description: scientific article; zbMATH DE number 6855606